Bluetooth Audio Compression by Speech Type for Faster Transfer
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Solution Overview
Problem
Existing Bluetooth audio transmission specifications face limitations in sound quality, coding, and bandwidth, leading to excessive data transmission requirements due to fixed compression parameters that treat speech and non-speech signals uniformly, hindering fast data transfer.
Innovation Solution
Dynamically adjust compression parameters based on the type of audio data (speech or non-speech) to optimize data size and ensure minimal speech signal loss, allowing for efficient and rapid transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed compression parameters are used for all audio data, then the compression process is simple, but the data transmission size is excessive and speech quality is not optimized
Solution Approach 1:
The patent applies dynamics by transitioning from fixed compression parameters to dynamic compression parameters that adapt to different audio data types. The system identifies whether audio data is speech-type or non-speech-type and selects appropriate compression parameters accordingly, making the compression process dynamic and adaptive rather than static and rigid.
Solution Approach 2:
The patent changes the compression parameters based on the type of audio data being processed. By detecting the audio data type (speech or non-speech) and adjusting compression parameters accordingly, the system optimizes the balance between compression ratio and quality preservation, reducing unnecessary data transmission while maintaining speech quality.
2Ease of operation
If fixed compression parameters are used uniformly, then the processing is straightforward, but speech signal loss increases and transmission efficiency decreases
Solution Approach 1:
The patent applies local quality by treating different types of audio data differently. Instead of applying a uniform compression approach, the system identifies speech-type versus non-speech-type audio and applies appropriate compression parameters to each type, ensuring that speech signals receive optimized treatment to minimize quality loss.
Solution Approach 2:
The system incorporates feedback mechanisms to identify the type of audio data and adjust compression parameters accordingly. This feedback loop ensures that the compression process adapts to the actual content characteristics, maintaining speech quality while improving transmission efficiency.
3Productivity
If high compression ratio is applied to all audio data, then data transmission speed increases, but speech quality deteriorates
Solution Approach 1:
The system dynamically adjusts the compression ratio based on audio data type. For non-speech audio, higher compression ratios can be applied to maximize transmission speed, while speech audio receives lower compression ratios to preserve quality. This dynamic adaptation resolves the contradiction between transmission speed and quality.
Solution Approach 2:
The patent changes the compression parameter (compression ratio) based on the detected audio data type. By selecting different compression ratios for speech versus non-speech audio, the system optimizes both transmission speed and quality preservation according to the specific requirements of each audio type.
Data Source
AI summary
Embodiments of the present disclosure provide an audio data processing method, apparatus and system, and an electronic device. The method is applied to a first terminal and comprises: acquiring first audio data; determining a target compression parameter according to target type information corresponding to the first audio data, and compressing the first audio data based on the target compression parameter to obtain first compressed data; wherein the target type information comprises a speech type or a non-speech type; transmitting the first compressed data to a second terminal, wherein the first terminal and the second terminal are wirelessly connected via Bluetooth.